{"id":"W3169314859","doi":"10.1177/17540739211014946","title":"Operationalizing the Relation Between Affect and Cognition With the Somatic Transform","year":2021,"lang":"en","type":"article","venue":"Emotion Review","topic":"Emotions and Moral Behavior","field":"Psychology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Guelph","funders":"","keywords":"Affect (linguistics); Complementarity (molecular biology); Cognition; Operationalization; Psychology; Cognitive psychology; Categorization; Relation (database); Meaning (existential); Social psychology; Cognitive science; Communication; Computer science; Epistemology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003040073,0.0005230323,0.0004278194,0.002477151,0.0005259066,0.003337935,0.0007573286,0.001086831,0.002884738],"category_scores_gemma":[0.007464437,0.0002651992,0.000711129,0.001065802,0.01211849,0.005413821,0.002886323,0.00224408,0.0003674476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001107549,"about_ca_system_score_gemma":0.0006150391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006480282,"about_ca_topic_score_gemma":0.0005059779,"domain_scores_codex":[0.9980447,0.0007959742,0.0001413681,0.0002650833,0.0006637878,0.00008907532],"domain_scores_gemma":[0.9967681,0.002069041,0.0004486844,0.0003165602,0.0003142597,0.00008337391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002275743,0.00001445356,0.001399277,0.0001039359,0.00003332964,0.00008903284,0.001155406,0.001552811,0.001443987,0.9672513,0.0002051149,0.02672864],"study_design_scores_gemma":[0.000005606976,0.00004044028,0.003668068,0.00008666635,0.00002337506,0.000261165,0.0004232283,0.004109591,0.0006342566,0.9845399,0.006187292,0.00002040108],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06264092,0.006148821,0.805558,0.005125838,0.0004567736,0.00007755253,0.0001018938,0.0001461131,0.1197441],"genre_scores_gemma":[0.9104529,0.002865998,0.0821748,0.0007922958,0.000476453,0.0001091806,0.00006881062,0.00005006738,0.003009394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003337935,"threshold_uncertainty_score":0.01607764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05890968745639925,"score_gpt":0.3505948687386878,"score_spread":0.2916851812822886,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}